Lehre

Prof. Dr. Tanja Clees

• Informatik (lecture, exercises, practical lab)
• Energie 4.0 (seminar)
• Sektorkopplung (seminar)

Prof. Dr. Martin Hofmann-Apitius

• Intellectual and social pre-requisites for science (tutorial)
• How to write a master thesis (tutorial)
• Current trends in applied life science informatics (seminar)
• Biological databases (lecture, exercise)
• LSI exam regulations (tutorial)

Christian Ebeling

• Databases – design, implementation and optimisation (lab course)

Jürgen Klein, Bruce Schultz

• Programming lab II (practical lab)

Alpha Tom Kodamullil

• Biomedical semantics and knowledge graphs – algorithms and applications (seminar)

Dr. Daniel Oeltz

• Forschungsprojekt Risikomanagement (lecture, seminar)

Tamara Raschka, Yasemin Salimi

• Longitudinal modelling of disease progression (lab course)

Prof. Dr. Marc Alexander Schweitzer

• Efficient & User-friendly Parallel Implementation of Finite Difference Methods
• Einführung in die Programmiermethoden des Wissenschaftlichen Rechnens

Prof. Dr. Tanja Clees

• Informatik und Numerik (lecture, practical lab)
• Simulation technischer Systeme (lecture, practical lab)
• Modellbasierte Simulationstechniken (lecture, exercises)
• Optimierungsverfahren (lecture, practical lab)

Prof. Dr. Holger Fröhlich

• Biomedical Data Science & AI
• Advanced Methods in Biomedical Data Science & AI
• Machine Learning Hands-on (with Linden, Madan)

Prof. Dr. Jochen Garcke

• Practical Lab Numerical Algorithms
  
• Numerical Simulation - Optimal Control and Reinforcement Learning (lecture, exercises)
  

Prof. Dr. Michael Griebel

• Graduate Seminar on Numerical Simulation
• Oberseminar Numerische Simulation

Sophia Krix

• Biomedical data science and ai (tutorial)

Thomas Linden, Sumit Madan, Prof. Dr. Holger Fröhlich

• Machine Learning Hands-On

Prof. Dr. Dirk Reith

• Physik (Theoretische Physik I - Klassische Mechanik), (lecture, exercises)
• Seminar Race-Academy (seminar)
• Seminar Cost-and-Production-Management in der Fahrzeugentwicklung (seminar)

Prof. Dr. Tanja Clees

• Informatik (lecture, exercises, practical lab)
• Energie 4.0 (seminar)
• Sektorkopplung (seminar)

Christian Ebeling

• Databases - Design, Implementation and Optimisation (lab course)
  

Prof. Dr. Michael Griebel

• Numerical methods for high-dimensional kinetic partial differential equations (seminar)
• Oberseminar Numerische Simulation

Dr. Jan Hamaekers

• Ausgewählte Themen des Maschinellen Lernens (lecture + seminar)

Prof. Dr. Martin Hofmann-Apitius

• Biological Databases (lecture, exercises)
• Current Trends in Applied Life Science Informatics (seminar)

Prof. Dr. Martin Hofmann-Apitius, Dr. Daniel Domingo-Fernández

• Mechanism enrichment using NeuroMMSig (lab course)

Prof. Dr. Martin Hofmann-Apitius, Meemansa Sood, Sepehr Golriz Khatami

• Longitudinal modelling of disease progression (lab course)

Jürgen Klein, Bruce Schultz

• Programming Lab II (practical lab)

Dipl.-Inf. Ottmar Krämer-Fuhrmann

• Android Programmierung (Praxisprojekt)

Prof. Dr. Dirk Reith

• Technische Mechanik 3 - Kinetik/Kinematik (lecture, exercises)
• Ausgewählte Kapitel der technischen Mechanik (TM4)
  
• CAD Praxis (Projekt 1)
  
• Elektronisches Schaltungsdesign in Altium (Projekt 1)

Prof. Dr. Marc Alexander Schweitzer

• Numerical Algorithms (lecture and exercises)

Prof. Dr. Marc Alexander Schweitzer, Matthias Birner, Pablo Jiménez Recio, Lukas Troska

• Einführung in die Programmiermethoden des Wissenschaftlichen Rechnens (practical lab)
• Programming Methods in Scientific Computing (practical lab)

Prof. Dr. Tanja Clees

• Informatik und Numerik (lecture, practical lab)
• Simulation technischer Systeme (lecture, practical lab)
• Modellbasierte Simulationstechniken (lecture, exercises)
• Optimierungsverfahren (lecture, practical lab)
• Verteilt arbeitendes Raspberry-Pi-Cluster (Bachelorprojekt)
  

Prof. Dr. Holger Fröhlich

• Biomedical Data Science & AI
• Advanced Methods in Biomedical Data Science & AI

Prof. Dr. Jochen Garcke

• Wissenschaftliches Rechnen II (lecture, exercises)
• Numerical Simulation - Algorithms in Machine Learning and their Application (practical lab)
  

Prof. Dr. Michael Griebel

• The approximation theory of deep learning (seminar)

Prof. Dr. Michael Griebel, Dr. Jan Hamaekers

• Particle methods and meshless discretization (practical lab)
  
• Partikelmethoden und gitterlose Diskretisierung (pracical lab)

Thomas Linden, Sumit Madan, Prof. Dr. Holger Fröhlich

• Machine Learning Hands-On

Prof. Dr. Dirk Reith

• Physik (Theoretische Physik I - Klassische Mechanik), (lecture, exercises)
• Ausgewählte Kapitel in der nachhaltigen Fahrzeugentwicklung (seminar)
• Elektronisches Schaltungsdesign in Altium für Fortgeschrittene (Projekt 2)
• Fortgeschrittene CAD-Praxis (Projekt 2)

Prof. Dr. Marc Alexander Schweitzer, Clelia Albrecht

• Einführung in die Programmiermethoden des Wissenschaftlichen Rechnens (practical lab)
• Programming Methods in Scientific Computing (practical lab)

Prof. Dr. Tanja Clees

• Informatik (lecture, exercises, practical lab)
• Energie 4.0 (seminaristic lessons)

Christian Ebeling

• Biomedical Databases - Design, Implementation and Optimisation (lab course)

Prof. Dr. Juliane Fluck, Prof. Dr. Jan-Henrik Haunert

• Geo-Information Management in Interdisciplinary Research Context (lecture, exercises)
  

Prof. Dr. Martin Hofmann-Apitius

• Biological Databases (lecture, exercises)
• LSI exam regulations (tutorial)
• Interlectual and social prerequisites for science (tutorial)
• How to write a Master Thesis (tutorial)
• Current Trends in Applied Life Science Informatics (seminar)
  

Prof. Dr. Martin Hofmann-Apitius, Bruce Schultz, Jürgen Klein

• Programming Lab II (lab course)
  

Prof. Dr. Martin Hofmann-Apitius, Dr. Daniel Domingo-Fernández

• Mechanism enrichment using NeuroMMSig (lab course)

Prof. Dr. Martin Hofmann-Apitius, Sepehr Golriz Khatami, Reagon Karki

• Role of data analysis in longitudinal and event based disease modeling (lab course)

Dipl.-Inf. Ottmar Krämer-Fuhrmann

• Android Programmierung (laboratory course)

Prof. Dr. Ute Nöthlings, Prof. Dr. Juliane Fluck

• Forschungsdatenmanagement in Humanstudien (lecture, exercises)

Prof. Dr. Dirk Reith

• Technische Mechanik 3 - Kinetik/Kinematik (lecture, exercises)
• Ausgewählte Kapitel der technischen Mechanik (TM4)
  
• Projekt 1 "CAD Praxis"
• Projekt 1 "Elektronisches Schaltungsdesign in Altium"
  

Prof. Dr. Marc Alexander Schweitzer

• Einführung in die Programmiermethoden des praktischen Rechnens (practical lab)
  
• Programming Methods in Scientific Computing (practical lab)
      

Prof. Dr. Tanja Clees

• Ingenieurwissenschaftliche Werkzeuge: Informatik und Numerik (lecture, practical lab)
• Simulation technischer Systeme (lecture, practical lab)
• Modellbasierte Simulationstechniken in der Produktentwicklung (lecture, practical lab)
• Seminar AK Energie
  

Dr. Jens Dörpinghaus

• Knowledge Graphs and their Applications in Life Sciences

Prof. Dr. Holger Fröhlich

• Biomedical Data Science & AI
• Advanced Methods in Biomedical Data Science & AI

Prof. Dr. Jochen Garcke

• Einführung in die Numerische Mathematik (lecture, exercises)
• Abschlussvortrag als Online-Seminarvortrag
  

Prof. Dr. Michael Griebel

• Master's Thesis Seminar
• Oberseminar Numerische Simulation

Dr. Jan Hamaekers, Prof. Dr. Michael Griebel

• Practical Lab Numerical Simulation - Particle methods and meshless discretization
• Programmierpraktikum numerische Algorithmen

Dipl.-Inf. Ottmar Krämer-Fuhrmann

• Programmieren von Android-Apps (laboratory course)

Thomas Linden, Sumit Madan, Prof. Dr. Holger Fröhlich

• Machine Learning Hands-On

Prof. Dr. Dirk Reith

• Physik (Theoretische Physik I - Klassische Mechanik), (lecture, exercises)
• Cost- and Production Management in der Fahrzeugentwicklung (seminar)
• RaceAcademy (seminar)
      

Prof. Dr. Tanja Clees

• Informatik (lecture, exercises, practical lab)
• Energie 4.0 (seminar and practical lab)
• Starterprojekte "Windmühlen, Dynamics und Co. (lecture, practical lab)
• Mehrere Bachelor- und Masterprojekte
  

Christian Ebeling

• Biomedical Databases - Design, Implementation and Optimisation (lab course)

Prof. Dr. Juliane Fluck / Prof. Dr. Jan-Henrik Haunert

• Geo-Information Management in Interdisciplinary Research Context (lecture, exercises)
  

Prof. Dr. Holger Fröhlich

• Data Mining and Machine Learning in the Life Sciences (lecture)

Prof. Dr. Michael Griebel

• Practical Lab Numerical Simulation – Computational Finance (practical lab)
  

Prof. Dr. Martin Hofmann-Apitius

• Biological Databases (lecture, exercises)
• LSI exam regulations (tutorial)
• How to write a master's thesis (tutorial)
• Current Trends in Applied Life Science Informatics (seminar)
  

Prof Dr. Martin Hofmann-Apitius / Dr. Jens Dörpinghaus / Sebastian Schaaf

• Programming Lab II (lab course)

Prof Dr. Martin Hofmann-Apitius / Daniel Domingo Fernández

• Mechanism enrichment using NeuroMMSig (lab course)

Prof. Dr. Martin Hofmann-Apitius / Meemansa Sood / Sepehr Golriz Khatami

• Role of data analysis in longitudinal and event based disease modeling (lab course)

Dipl.-Inf. Ottmar Krämer-Fuhrmann

• Programmieren von Android-Apps (laboratory course)

Prof. Dr. Dirk Reith

• Technische Mechanik 3 - Dynamik (laboratory course)
• Ausgewählte Kapitel der technischen Mechanik (TM4)
• Seminar "Race Academy / Effiziente Mobilität"
• Projekt 1 "Entwicklungsthemen Formula Student Rennwagen G20e"
  

Prof. Dr. Marc Alexander Schweitzer

• Einführung in die Grundlagen der Numerik (lecture/exercises)
• Einführung in die Programmiermethoden des Wissenschaftlichen Rechnens (practical lab)
  

Prof. Dr. Tanja Clees

• Simulation mechatronischer Systeme (lecture, practical lab)
• Modellbasierte Simulationstechniken (lecture and exercises)
• Ingenieurwissenschaftliche Werkzeuge: Informatik/Numerik (lecture, practical lab)
  
• Energie 4.0 (Bachelorprojekt)
• Mehrere Masterprojekte zu Energiethemen
  

Prof. Dr. Jochen Garcke

• Practical Lab Numerical Simulation - Algorithms in Machine Learning and their Application (practical lab)
• Selected topics in numerical methods in science and technology - nonlinear dimensionality reduction (lecture)

Prof. Dr. Michael Griebel

• The approximation theory of deep learning (graduate seminar on numerical simulation)
  
• Master's thesis seminar (seminar)
• Oberseminar Numerische Simulation (post graduate seminar)

Dr. Jan Hamaekers

• Forschungsprojekt Datenanalyse (research project)

Prof. Dr. Juliane Fluck / Prof. Dr. Martin Hofmann-Apitius

• Knowledge Discovery (lecture)

Prof. Dr. Dirk Reith

• Allgemeine Physik (Theoretische Physik I) (lecture, exercises)
• RaceAcademy / Effiziente Mobilität (seminar)
• Ausgewählte Kapitel der nachhaltigen Fahrzeugentwicklung (seminar)
• Projekt 2 und 3 "Konstruktionsdesign und Cost-Report"

Prof. Dr. Tanja Clees

• Informatik (lecture, exercises, practical lab)
• Energie 4.0 (lecture and exercises)
• Windmühlen, Dynamos und Co. (Starterprojekt)
• Gas-to-X (Masterprojekt 2)
  

Christian Ebeling

• Biomedical Databases - Design, Implementation and Optimisation (lab course)

Prof. Dr. Jochen Garcke / Prof. Dr. Michael Griebel

• Numerical Simulation (practical lab)

Prof. Dr. Michael Griebel

• Begleitseminar zur Bachelorarbeit
• Master's Thesis Seminar
• Hauptseminar Numerik
• Oberseminar Numerische Simulation

Prof. Dr. Martin Hofmann-Apitius

• Biological Databases (lecture, exercises)
• LSI exam regulations (tutorial)
• How to write a master's thesis (tutorial)
• Current Trends in Applied Life Science Informatics (seminar)
  

Prof Dr. Martin Hofmann-Apitius / Jens Dörpinghaus / Sebastian Schaaf

• Programming Lab II (lab course)

Prof. Dr. Martin Hofmann-Apitius / Daniel Domingo-Fernández

• Mechanism enrichment using NeuroMMSig (lab course)

Prof. Dr. Martin Hofmann-Apitius / Charles Hoyt

• Knowlege Assembly, Data Integration and Modelling in Systems and Networks Biology (seminar)

Prof. Dr. Martin Hofmann-Apitius / Meemansa Sood / Sepehr Golriz Khatami

• Role of data analysis in longitudinal and event based disease modeling (lab course)

Dipl.-Inf. Ottmar Krämer-Fuhrmann

• Programmieren von Android-Apps (laboratory course)

Prof. Dr. Dirk Reith

• Höhere Technische Mechanik(lecture/exercises)
• Technische Mechanik 3 - Dynamik (lecture/exercises)
  
• RaceAcademy / Effiziente Mobilität (seminar)
• Projekt 1 "Formula-Student"
  

Prof. Dr. Marc Alexander Schweitzer

• Numerical Algorithms (lecture/exercises)
• Programmiermethoden des Wissenschaftlichen Rechnens (practical lab)
  

Prof. Dr. Tanja Clees

• Simulation mechatronischer Systeme (lecture, exercises, practical lab)
• Modellbasierte Simulationstechniken in der Produktentwicklung (lecture and exercises)
• Mini Big Data Lab (Bachelorprojekte)
• Gas-to-X (Masterprojekt)
  

Prof. Dr. Jochen Garcke

• Numerical Simulation - Optimal Control and Reinforcement Learning (lecture and exercises)

Prof. Dr. Jochen Garcke / Prof. Dr. Michael Griebel

• Practical Lab Numerical Simulation - Algorithms in Machine Learning and their Application (practical lab)

Prof. Dr. Michael Griebel

• Numerical Simulation - Optimal control and reinforcement learning (lecture and exercises)
• Begleitseminar zur Bachelorarbeit (seminar)
• Master's thesis seminar (seminar)
• Oberseminar Numerische Simulation (post graduate seminar)

Prof. Dr. Martin Hofmann-Apitius

• Knowledge Discovery (lecture)

Prof. Dr. Dirk Reith

• Technische Mechanik 2 (lecture, exercises lab)
• RaceAcademy / Effiziente Mobilität (seminar)
• Projekt 2 und 3 "Formula-Student" (practical lab)
  

Clelia Albrecht / Johannes Holke

• C-Programmierkurs für Studienanfänger der Mathematik (lecture/exercises)

Dr. Dustin Feld

• Informatik (practical lab)

Prof. Dr. Thomas Gerstner

• Einführung in die computerorientierte Mathematik (lecture/exercises)
• Computational Finance 2 (lecture/exercises)
• Numerische Verfahren der Finanzmathematik (block seminar)

Prof. Dr. Michael Griebel

• Begleitseminar zur Bachelorarbeit (seminar)
• Hauptseminar Numerik - Neural Networks in Approximation Theory (seminar)
• Graduate Seminar on Numerical Analysis (post-graduate seminar)

Dr. Jan Hamaekers

• Practical Lab Numerical Simulation: Particle methods and meshless discretization
• Programmierpraktikum Partikelmethoden und gitterlose Diskretisierung

Prof. Dr. Martin Hofmann-Apitius

• Knowledge Discovery Technologies (seminar)
• Current Trends in Applied Life Science Informatics (seminar)
• Modeling of Neurodegenerative Diseases and Biomarker Identification (seminar)

Prof Dr. Martin Hofmann-Apitius / Jens Dörpinghaus

• Programming Lab III (lab course)

Prof Dr. Martin Hofmann-Apitius / Alpha Tom Kodamullil / Mufassra Naz / Mohammad Asif Emon / Reagon Karki

• Biological Databases (lecture)

Prof Dr. Martin Hofmann-Apitius / Meemansa Sood / Sepehr Golriz Khatami

• Role of data analysis in longitudinal and event based disease modeling (practical lab)

Prof. Dr. Wolfgang Joppich

• Informatik (lecture/exercises/practical lab)

Dipl.-Inf. Ottmar Krämer-Fuhrmann

• Programmieren von Android-Apps (laboratory course)

Prof. Dr. Dirk Reith

• Höhere Technische Mechanik(lecture/exercises)
• RaceAcademy (seminar)
• Projekt 1 "Formula-Student"
  

Prof. Dr. Marc Alexander Schweitzer

• Numerical Algorithms (lecture/exercises)

Dr. Einar Smith

• Programmiermethoden des Wissenschaftlichen Rechnens (laboratory)
• Programming Methods in Scientific Computing (laboratory)
  

Dr. Dustin Feld

• Informatik (practical lab)

Prof. Dr. Jochen Garcke

• Numerical Simulation - Optimal Control and Reinforcement Learning (lecture and exercises)

Prof. Dr. Thomas Gerstner

• Computational Finance (lecture and exercises)
• Stochastische Numerik (lecture and exercises)
• Numerische Verfahren der Finanzmathematik (block seminar)

Prof. Dr. Martin Hofmann-Apitius /

• Computational Systems Biology (seminar)
• Modeling of Neurodegenerative Diseases and Biomarker Identification(seminar)
• Current Trends in Applied Life Science Informatics (seminar)
• Industrial Systems Biology (seminar)

Prof. Dr. Martin Hofmann-Apitius / Daniel Domingo-Fernandez

• Mechanism enrichment using NeuroMMSig (practical lab)

Prof. Dr. Martin Hofmann-Apitius / Christian Ebeling

• Biomedical Databases - Design, Implementation and Optimisation (practical lab)

Prof. Dr. Martin Hofmann-Apitius / Dr. Juliane Fluck / Alpha Tom Kodamullil / Reagon Karki / Dr. Marc Jacobs

• Live Science Knowledge Discovery (lecture)

Prof. Dr. Wolfgang Joppich

• Informatik (lecture, exercises, practical lab)
• Modellbildung und Simulation mechatronischer Systeme (lecture, exercises, practical lab)
• Simulationstechniken (lecture, practical lab)
  

Prof. Dr. Dirk Reith

• Technische Mechanik 2 - Kinetik/Kinemathik (lecture, exercises lab)
• RaceAcademy (seminar)
• Projekt 2 und 3 "Formula-Student" (practical lab)
  

Dipl.-Wirtsch.-Math. Dustin Feld

• Informatik (practical lab)

Prof. Dr. Thomas Gerstner

• Einführung in die Numerik (lecture/exercises)
• Wavelets (lecture/exercises)
• Numerische Methoden der Finanzmathematik (block seminar)
• Numerische Finanzmathematik (advanced seminar)
• Scilab Vorsemesterkurs (block seminar)
  

Prof. Dr. Michael Griebel

• Practical Lab Numerical Simulation – Computational Fluid Dynamics (laboratory)
• Programmierpraktikum numerische Algorithmen – Numerische Simulation in der Strömungsmechanik (laboratory)

Prof. Dr. Martin Hofmann-Apitius

• Modeling of Neurodegenerative Diseases and Biomarker Identification (seminar)
• Current Trends in Applied Life Science Informatics (seminar)

Prof. Dr. Martin Hofmann-Apitius / Dr. Marc Jacobs / Jens Dörpinghaus / Sebastian Schaaf / Sven Hodapp

• Programming Lab III (lab course)

Prof. Dr. Martin Hofmann-Apitius / Reagon Karki / Asif Emon

• Biological Databases (lecture/exercise)

Prof. Dr. Martin Hofmann-Apitius / Asif Emon / Anandhi Iyappan

• Knowledge Discovery Technologies (seminar)
• Modeling of Neurodegenerative diseases and biomarker identification (seminar)

Prof. Dr. Wolfgang Joppich

• Ingenieurinformatik I (lecture, exercises, practical lab)
  

Dipl.-Inf. Ottmar Krämer-Fuhrmann

• Programmieren von Android-Apps (laboratory course)

Prof. Dr. Dirk Reith

• Physik-Praktikum
• RaceAcademy (seminar)
• Projekt 1 "Formula-Student" (practical lab)
  

Prof. Dr. Dirk Reith / Prof. Dr. Katharina Seuser

• Forschung kommunizieren! (seminar)

Prof. Dr. Marc Alexander Schweitzer

• Numerical Algorithms (lecture/exercises)

Dr. Einar Smith

• Programmiermethoden des Wissenschaftlichen Rechnens (laboratory)
• Programming Methods in Scientific Computing (laboratory)
  

Dipl.-Wirtsch.-Math. Dustin Feld

• Informatik (practical lab)

Prof. Dr. Jochen Garcke

• Wissenschaftliches Rechnen II (lecture and exercises)

Prof. Dr. Thomas Gerstner

• Computational Finance 2 (lecture and exercises)
• Monte-Carlo-Verfahren (lecture and exercises)
• Splines (proseminar)
  
• Numerische Methoden der Finanzmathematik (block seminar)
• Numerische Finanzmathematik (advanced seminar)

Prof. Dr. Michael Griebel / Dr. Jan Hamaekers

• Programmierpraktikum Partikelmethoden und gitterlose Diskretisierung – Bachelor (laboratory)
• Practical Lab Particle Methods and Meshless Discretization – Master (laboratory)

Prof. Dr. Martin Hofmann-Apitius / Dr. Juliane Fluck / Dr. Marc Jacobs / Shweta Bagewadi Kawalia

• Life Science Knowledge Discovery (lecture)

Prof. Dr. Martin Hofmann-Apitius / Christian Ebeling

• Biomedical Databases - Design, Implementation and Optimisation (seminar)

Prof. Dr. Martin Hofmann-Apitius / Anandhi Iyappan

• Modelling of Neurodegenerative Diseases and Biomarker Identification (seminar)
• Current Trends in Applied Life Science Informatics (seminar)
• Industrial Systems Biology (seminar)
  

Prof. Dr. Martin Hofmann-Apitius / Asif Emon / Reagon Karki

• Industrial Systems Biology (seminar)
  

Prof. Dr. Wolfgang Joppich

• Labor Informatik (lecture, practical lab)
• Modellbildung und Simulation mechatronischer Systeme (lecture, exercises, practical lab)
• Modellbasierte Simulationstechniken (lecture, practical lab)

Dr. Jan Kleinert

• Einführung in die Mehrkörpersimulation (lecture)

Prof. Dr. Dirk Reith

• Modellbildung/Simulation II für Produktentwickler (lecture and exercises)
• Werkstoffklasse "Kunststoffe" unter Nachhaltigkeitsaspekten (lecture)
  
• Praxisprojekt: Erstellung einer Bauanleitung und Konstruktion von Kinderspielzeug für Flüchtlinge (practical lab)
  
• Praxisprojekt-Betreuung: Konstruktionsdesign Formula Student (practical lab)
  

Dr. Einar Smith

• Programmiermethoden des Wissenschaftlichen Rechnens (laboratory)
• Programming Methods in Scientific Computing (laboratory)
  

Dipl.-Wirtsch.-Math. Dustin Feld

• Informatik (practical lab)

Prof. Dr. Thomas Gerstner

• Computational Finance (lecture/exercises)
• Numerik partieller Differentialgleichungen (lecture/exercises)
• Numerische Methoden der Finanzmathematik (block seminar)
• Numerische Mathematik (advanced seminar)

Prof. Dr. Michael Griebel

• Practical Lab Numerical Simulation – Computational Finance (laboratory)
• Programmierpraktikum numerische Algorithmen – Numerische Verfahren der Finanzmathematik (laboratory)

Prof. Dr. Martin Hofmann-Apitius

• Biological Databases (lecture/exercise)
• Knowledge Discovery Technologies (seminar)
• Modeling of Neurodegenerative diseases and biomarker identification (seminar)
• Current Trends in Applied Life Science Informatics (seminar)
• ENSEMBL Workshop (lab course)

Prof. Dr. Martin Hofmann-Apitius / Dr. Marc Zimmermann

• Programming Lab III (lab course)

Dipl.-Math. Marco Hülsmann

• Algebraische und zahlentheoretische Grundlagen für die Informatik (lecture and exercises)

Prof. Dr. Wolfgang Joppich

• Ingenieurinformatik I (lecture, exercises, practical lab)
  

Dipl.-Inf. Ottmar Krämer-Fuhrmann

• Programmieren von Android-Apps (practical lab)

Prof. Dr. Dirk Reith

• Forschung kommunizieren (seminar)
• Starterprojekt Brückenbau-Wettbewerb (practical lab)
• Praxisprojekt-Betreuung: Windkanal (practical lab)

Prof. Dr. Marc Alexander Schweitzer

• Wissenschaftliches Rechnen I (Scientific Computing I) (lecture/exercises)
• Wissenschaftliches Rechnen (seminar)

Dr. Philipp Senger / Shweta Bagewadi

• Analysis of Microarray Data with Machine Learning Methods

Dr. Einar Smith

• Programmiermethoden des Wissenschaftlichen Rechnens (laboratory)

Dipl.-Wirtsch.-Math. Dustin Feld

• Informatik (practical lab)

Prof. Dr. Jochen Garcke

• Einführung in die Numerische Mathematik (lecture and exercises)
• Hauptseminar Numerik (seminar)

Prof. Dr. Thomas Gerstner

• Differentialgleichungen (lecture and exercises)
• Stochastische Numerik (lecture and exercises)
• Numerische Methoden der Finanzmathematik (block seminar)
• Numerische Finanzmathematik (advanced seminar)

Prof. Dr. Michael Griebel

• Programmierpraktikum numerische Algorithmen – Numerische Simulation in der Strömungsdynamik – Bachelor (laboratory)
• Practical Lab Numerical Simulation – Computational Fluid Dynamics – Master (laboratory)

Prof. Dr. Martin Hofmann-Apitius

• Life Science Knowledge Discovery (lecture)
• Machine Learning Methods in Systems Biology (seminar)
• Modelling of Neurodegenerative Diseases and Biomarker Identification (seminar)
• Current Trends in Applied Life Science Informatics (seminar)
• In silico experimentation using e-labs (lab course)
• Industrial Systems Biology (seminar)
  

Prof. Dr. Wolfgang Joppich

• Ingenieurinformatik II (lecture, exercises, practical lab)
• Modellbildung und Simulation mechatronischer Systeme (lecture, exercises, practical lab)
• Modellbasierte Simulationstechniken (lecture, practical lab)

Dipl.-Inf. Ottmar Krämer-Fuhrmann

• Objektorientiertes Programmieren mit C++ (lecture and exercises)

Prof. Dr. Dirk Reith

• Modellbildung/Simulation I für Produktentwickler (lecture and exercises)
  
• Nachhaltige E-Mobilität (lecture/seminar)
  
• Praxisprojekt-Betreuung: Formula Student (practical lab)
  

Dipl.-Wirtsch.-Math. Dustin Feld

• Programmierpraktikum I (practical lab)
• Informatik für Maschinenbau I, II

Prof. Dr. Thomas Gerstner

• Computerorientierte Mathematik (lecture)
• Quadraturverfahren (lecture)
• Programmierpraktikum Computational Finance (practical lab)

Prof. Dr. Michael Griebel/Dr. Jan Hamaekers

• Particle methods and meshless discretization (practical lab)
• Partikelmethoden und gitterlose Diskretisierung (practical lab)

Prof. Dr. Martin Hofmann-Apitius

• Knowledge Discovery Technologies (seminar)
• Modeling of Neurodegenerative diseases and biomarker identification (seminar)
• Current Trends in Applied Life Science Informatics (seminar)
• Biological Databases (lecture/exercise)

Prof. Dr. Martin Hofmann-Apitius/Dr. Marc Zimmermann

• Programming Lab III (lab course)

Dr. Marco Hülsmann

• Mathematik I (lecture/exercise)

Prof. Dr. Wolfgang Joppich/Dipl.-Inf. Ottmar Krämer-Fuhrmann

• Einführung in die Programmierung von Android Smartphones (practical lab)

Prof. Dr. Wolfgang Joppich

• Starterprojekt LEGO-Roboter programmieren

Dipl.-Inf. Ottmar Krämer-Fuhrmann

• Methoden der objektorientierten Programmierung (seminar)

Dipl.-Math. Bettina Landvogt/Nadja Wirth

• Informatik Labor (practical lab)

Prof. Dr. Dirk Reith

• Mathematik I für MB (lecture and exercises)
• Physik I für MB (lecture and exercises)

Prof. Dr. Marc Alexander Schweitzer

• Einführung in die Grundlagen der Numerik (lecture)

Shweta Bagewadi / Prof. Dr. Martin Hofmann-Apitius

• Current Trends in Applied Life Science Informatics (seminar)

Dipl.-Wirtsch.-Math. Dustin Feld

• Programmierpraktikum II (practical lab)

Prof. Dr. Jochen Garcke

• Algorithmische Mathematik II (lecture)
• Algorithmen im Data Mining (seminar)

Prof. Dr. Thomas Gerstner

• Monte Carlo Verfahren (lecture)
• Hierarchische numerische Verfahren (lecture)

Prof. Dr. Michael Griebel

• Graduate Seminar in Numerical Simulation – Advanced Topics in Scientific Computing (seminar)
• Numerical Simulation – Computational Finance (practical lab)
• Programmierpraktikum numerische Algorithmen – Numerische Verfahren der Finanzmathematik (practical lab)

Prof. Dr. Martin Hofmann-Apitius

• Life Science Knowledge Discovery (lecture)
• Modelling of Neurodegenerative diseases and biomarker identification (seminar)

Prof. Dr. Martin Hofmann-Apitius u.a.

• Tutorial: How to write a master's thesis
• Computational Systems Biology (seminar)
• In silico experimentation using e-labs (lab course)

Prof. Dr. Martin Hofmann-Apitius / industrial partners

• Industrial Systems Biology (seminar)

Prof. Dr. Martin Hofmann-Apitius / Dr. Erfan Younesi

• Jamboree “Knowledge Engineering” (lab course)

Dipl.-Math. Bettina Landvogt / Nadja Wirth

• Informatik Labor (practical lab)

Prof. Dr. Dirk Reith

• Technische Mechanik II (lecture and exercises)

Dr. Philipp Senger / Dr. Marc Zimmermann u.a.

• Practical Microarray Analysis using R (lab course)

Dipl.-Wirtsch.-Math. Dustin Feld

• Programmierpraktikum I (practical lab)
• Informatik für Maschinenbau I, II

Prof. Dr. Thomas Gerstner

• Einführung in die Numerik (lecture)
• Elementare Angewandte Mathematik (lecture)
• Proseminar: Permutationen

Prof. Dr. Thomas Gerstner u.a.

• Finance (seminar)

Prof. Dr. Martin Hofmann-Apitius

• Grid Computing (seminar)
• Modelling of Neurodegenerative diseases and biomarker identification (seminar)
• Current Trends in Applied Life Science Informatics (seminar)
• Biological Databases (lecture/exercise)
• Knowledge Discovery Technologies (seminar)

Prof. Dr. Martin Hofmann-Apitius u.a.

• STN Training (seminar)

Prof. Dr. MartinHofmann-Apitius / Dr. Marc Zimmermann

• Open Pharmacological Space (practical lab)

Prof. Dr. Dirk Reith

• Physik I (lecture, exercises and practical lab)

Dipl.-Wirtsch.-Math. Dustin Feld

• Programmierpraktikum II

Dipl.-Wirtsch.-Math. Dustin Feld / M.Sc. Lauretta Schubert

• Informatik für Maschinenbau I, II (practical lab)

Prof. Dr. Jochen Garcke

• Selected Topics in Numerical Methods in Science and Technology – Mathematical Methods in Machine Learning
• Data Mining, Simulation und Optimierung für Anwendungen im Energiebereich

Prof. Dr. Thomas Gerstner

• Computational Finance (lecture)
• Wavelets (lecture)
• Multilevelverfahren in der Finanzmathematik (seminar)

Prof. Dr. Michael Griebel

• Numerical Algorithms for High-dimensional Problems (Master) (lecture)
• Graduate Seminar on Numerical Analysis (seminar)
• Hauptseminar Numerik (seminar)

Prof. Dr. Michael Griebel / Dr. Jan Hamaekers

• Particle methods and meshless discretization
• Partikelmethoden und gitterlose Diskretisierung

Prof. Dr. Martin Hofmann-Apitius

• Industrial Systems Biology (tutorial)
• Modelling of Neurodegenerative diseases and biomarker identification (seminar)
• Life Science Knowledge Discovery (lecture)

Prof. Dr. Martin Hofmann-Apitius / Shweta Bagewadi

• Current Trends in Applied Life Science Informatics (seminar)

Prof. Dr. Martin Hofmann-Apitius u.a.

• In silico experimentation using e-labs (practical lab)
• Computational Systems Biology

Prof. Dr. Martin Hofmann-Apitius / Dr. Erfan Younesi

• Jamboree “Knowledge Engineering” (practical lab)

Dr. Karl Kirschner

• Molecular Modeling using Quantum Mechanics, Molecular Mechanics, and Molecular Dynamics (practical lab)

Prof. Dr. Dirk Reith

• Technische Mechanik II (lecture and exercises)

Dr. Philipp Senger / Dr. Marc Zimmermann u.a.

• Analysis of Microarray Data with Methods from Machine Learning and Network Theory (Lab Course 1: Practical Microarray Analysis using R)

Prof. Dr. Marc Alexander Schweitzer

• Mathematische Modellierung (seminar)

Dipl.-Wirtsch.-Math. Dustin Feld / M.Sc. Lauretta Schubert

• Informatik für Maschinenbau I, II

Prof. Dr. Michael Griebel

• Numerical Simulation – Computational Finance (practical lab)
• Programmierpraktikum numerische Algorithmen – Numerische Verfahren der Finanzmathematik (practical lab)

Prof Dr. Martin Hofmann-Apitius

• Biological Databases (lecture / exercise)
• Knowledge Discovery Technologies (seminar)
• Modelling of Neurodegenerative diseases and biomarker identification (seminar)
• Current Trends in Applied Life Science Informatics (seminar)
• Grid Computing (seminar)

Prof. Dr. Martin Hofmann-Apitius / FIZ Karlsruhe

• STN Training (seminar)

Prof. Dr. Martin Hofmann-Apitius / Dr. Erfan Younesi

• LSI Software Practical (practical lab)

Prof. Dr. Martin Hofmann-Apitius / Dr. Marc Zimmermann

• Open Pharmacological Space (practical lab)